20 days ago
Kraków, PolandSenior
Responsibilities
- Develop and maintain Data Lakehouse workspaces, data pipelines, and data objects.
- Build data ingestion solutions from RDBMS, change-data-capture systems, and streaming endpoints.
- Develop data solutions using Python, Java, and SQL.
- Create and maintain data models for reporting, analytics, and AI models.
- Develop interactive dashboards, reports, and custom visualizations with user experience designers.
- Design and deploy scalable AI-driven infrastructure, agent orchestration layers, and evaluation frameworks.
- Ensure data accuracy, consistency, quality, governance, and regulatory compliance across the data lifecycle.
- Collaborate with cross-functional teams to understand requirements, optimize solutions, and troubleshoot issues.
- Document and share knowledge about data models, reports, dashboards, and other solutions.
Requirements
- Bachelor's or master's degree in Computer Science, Data Science, or a related field.
- At least 5 years of experience in data engineering, preferably with Databricks.
- Strong programming skills in Python and Java and database programming skills in SQL.
- Expertise in Data Lakehouse concepts and Delta Lake.
- Strong solution design and architecture skills, including understanding of data domains, regulations, and compliance requirements.
- Experience with cloud computing platforms such as AWS or Azure.
- Strong problem-solving, critical-thinking, communication, collaboration, and English-language skills.
Benefits
- Multinational, diversified, focused, and professional work environment with a friendly atmosphere.
About Backbase
Backbase builds an AI-native digital banking platform for financial institutions to unify customer and employee experiences across digital channels. It licenses its Banking OS and related services to banks for onboarding, lending, and core modernization initiatives. Founded in 2003 and headquartered in Amsterdam, it is privately held and used by more than 120 banks worldwide.